conclust: Pairwise Constraints Clustering
Version 1.1

There are 4 main functions in this package: ckmeans(), lcvqe(), mpckm() and ccls(). They take an unlabeled dataset and two lists of must-link and cannot-link constraints as input and produce a clustering as output.

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AuthorTran Khanh Hiep, Nguyen Minh Duc
Date of publication2016-08-15 13:16:21
MaintainerTran Khanh Hiep <hieptkse03059@fpt.edu.vn>
LicenseGPL-3
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("conclust")

Man pages

ccls: Pairwise Constrained Clustering by Local Search
ckmeans: COP K-means algorithm
conclust-package: Pairwise Constraints Clustering
lcvqe: LCVQE algorithm
mpckm: MPC K-means algorithm

Functions

ccls Man page Source code
ckmeans Man page Source code
conclust Man page
conclust-package Man page
lcvqe Man page Source code
mpckm Man page Source code

Files

NAMESPACE
R
R/mpckm.R
R/ckmeans.R
R/lcvqe.R
R/ccls.R
R/conclust-internal.R
MD5
build
build/partial.rdb
DESCRIPTION
man
man/conclust-package.Rd
man/mpckm.Rd
man/ccls.Rd
man/lcvqe.Rd
man/ckmeans.Rd
conclust documentation built on May 20, 2017, 1:59 a.m.